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Bing et al., 2012 - Google Patents

Unsupervised extraction of popular product attributes from web sites

Bing et al., 2012

View PDF
Document ID
17200340889556013146
Author
Bing L
Wong T
Lam W
Publication year
Publication venue
Asia Information Retrieval Symposium

External Links

Snippet

We develop an unsupervised learning framework for extracting popular product attributes from different Web product description pages. Unlike existing systems which do not differentiate the popularity of the attributes, we propose a framework which is able not only to …
Continue reading at lidongbing.github.io (PDF) (other versions)

Classifications

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    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30861—Retrieval from the Internet, e.g. browsers
    • G06F17/30864—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems
    • G06F17/30867—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems with filtering and personalisation
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    • G06F17/30017—Multimedia data retrieval; Retrieval of more than one type of audiovisual media
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    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06Q30/00—Commerce, e.g. shopping or e-commerce
    • G06Q30/02—Marketing, e.g. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards; Price estimation or determination
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